Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting

31 January 2021

Papers citing "Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting"

30 / 30 papers shown

Title
$K^2$ VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Xingjian Wu Xiangfei Qiu Hongfan Gao Jilin Hu Bin Yang Chenjuan Guo AI4TS 78 1 0 29 May 2025
STAN: Smooth Transition Autoregressive Networks Hugo Inzirillo Remi Genet 113 0 0 30 Jan 2025
A Temporal Linear Network for Time Series Forecasting Remi Genet Hugo Inzirillo AI4TS 75 3 0 28 Oct 2024
HiPPO-KAN: Efficient KAN Model for Time Series Analysis SangJong Lee Jin-Kwang Kim JunHo Kim TaeHan Kim James Lee AI4TS 85 3 0 19 Oct 2024
A Gated Residual Kolmogorov-Arnold Networks for Mixtures of Experts Hugo Inzirillo Remi Genet MoE 108 4 0 23 Sep 2024
Large Pre-trained time series models for cross-domain Time series analysis tasks Harshavardhan Kamarthi B. A. Prakash VLM AI4TS 119 12 0 19 Nov 2023
PEMS: Pre-trained Epidemic Time-series Models Harshavardhan Kamarthi B. A. Prakash AI4TS 102 2 0 14 Nov 2023
A Systematic Review for Transformer-based Long-term Series Forecasting Liyilei Su Xumin Zuo Rui Li Xin Wang Heng Zhao Bingding Huang AI4TS 80 12 0 31 Oct 2023
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 87 4 0 17 Oct 2023
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities Maryam Shaygan Collin Meese Wanxin Li Xiaoliang (George) Zhao Mark M. Nejad 112 123 0 31 May 2023
Hybrid Variational Autoencoder for Time Series Forecasting Borui Cai Shuiqiao Yang Longxiang Gao Yong Xiang BDL AI4TS 118 15 0 13 Mar 2023
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting Ozan Ozyegen Juyoung Wang Mucahit Cevik BDL AI4TS 58 1 0 05 Jan 2023
Recurrence Boosts Diversity! Revisiting Recurrent Latent Variable in Transformer-Based Variational AutoEncoder for Diverse Text Generation Jinyi Hu Xiaoyuan Yi Wenhao Li Maosong Sun Xingxu Xie DRL 127 0 0 22 Oct 2022
Neural State-Space Modeling with Latent Causal-Effect Disentanglement Maryam Toloubidokhti R. Missel Xiajun Jiang N. Otani Linwei Wang CML 54 0 0 26 Sep 2022
AA-Forecast: Anomaly-Aware Forecast for Extreme Events Ashkan Farhangi Jiang Bian Arthur Huang Haoyi Xiong Jun Wang Zhi-guo Guo AI4TS 72 4 0 21 Aug 2022
Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models Juan Miguel Lopez Alcaraz Nils Strodthoff DiffM 118 177 0 19 Aug 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 89 3 0 01 Jun 2022
Multi-scale Attention Flow for Probabilistic Time Series Forecasting Shibo Feng Chunyan Miao Ke-Li Xu Jiaxiang Wu Pengcheng Wu Fan Lin P. Zhao BDL AI4TS 56 27 0 16 May 2022
Monitoring Time Series With Missing Values: a Deep Probabilistic Approach Oshri Barazani David Tolpin AI4TS 46 0 0 09 Mar 2022
Interpretable Latent Variables in Deep State Space Models Haoxuan Wu David S. Matteson M. Wells BDL AI4TS 67 0 0 03 Mar 2022
SSDNet: State Space Decomposition Neural Network for Time Series Forecasting Yang Lin I. Koprinska Mashud Rana BDL AI4TS 77 32 0 19 Dec 2021
CAMul: Calibrated and Accurate Multi-view Time-Series Forecasting Harshavardhan Kamarthi Lingkai Kong Alexander Rodríguez Chao Zhang B. Prakash AI4TS 110 17 0 15 Sep 2021
RNN with Particle Flow for Probabilistic Spatio-temporal Forecasting Soumyasundar Pal Liheng Ma Yingxue Zhang Mark Coates BDL AI4TS 101 22 0 10 Jun 2021
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems Haitao Liu Changjun Liu Xiaomo Jiang Xudong Chen Shuhua Yang Xiaofang Wang BDL AI4TS 106 2 0 03 Jun 2021
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting Longyuan Li Jihai Zhang Junchi Yan Yaohui Jin Yunhao Zhang Yanjie Duan Guangjian Tian AI4TS 51 17 0 31 Jan 2021
Graph Neural Network for Traffic Forecasting: A Survey Weiwei Jiang Jiayun Luo GNN AI4TS AI4CE 280 895 0 27 Jan 2021
Physics-aware, probabilistic model order reduction with guaranteed stability Sebastian Kaltenbach P. Koutsourelakis DiffM AI4CE 88 15 0 14 Jan 2021
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction Penglei Gao Xi Yang Rui Zhang Kaizhu Huang AI4TS 66 17 0 26 Nov 2020
Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions Xueyan Yin Genze Wu Jinze Wei Yanming Shen Heng Qi Baocai Yin AI4TS 93 45 0 18 Apr 2020
Deep State Space Models for Nonlinear System Identification Daniel Gedon Niklas Wahlström Thomas B. Schon L. Ljung 71 88 0 31 Mar 2020